Congcong Li
Impact in
- Cognitive Neuroscience top 10%
- Aesthetic Perception and Analysis
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in
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- Ubiquitin and proteasome pathways 2
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- Neonatal Respiratory Health Research 3
- Respiratory Support and Mechanisms 2
- Co-authors
- Tsuhan Chen (1 shared paper)Faguang Jin (14 shared papers)Qingqing Liu (5 shared papers)Xi Lü (3 shared papers)Changshui Xu (3 shared papers)Lingyan Zhou (1 shared paper)Wei Liu (3 shared papers)Ling Gao (1 shared paper)
- Journals
- Expert Review of Respiratory Medicine (4 papers)Scientific Reports (3 papers)Frontiers in Physiology (3 papers)Frontiers in Pharmacology (2 papers)NeuroImage (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Congcong Li
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 152
- Cognitive Neuroscience 138
- Reproductive Medicine 55
- Sensory Systems 31
- Pulmonary and Respiratory Medicine 191
- Computer Vision and Pattern Recognition 145
Countries citing papers authored by Congcong Li
This map shows the geographic impact of Congcong Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Congcong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congcong Li more than expected).
Fields of papers citing papers by Congcong Li
This network shows the impact of papers produced by Congcong Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Congcong Li. The network helps show where Congcong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Congcong Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 221 | |
| 2 | 2017 | 143 | |
| 3 | 2015 | 56 | |
| 4 | 2018 | 53 | |
| 5 | 2019 | 50 | |
| 6 | 2015 | 47 | |
| 7 | 2014 | 45 | |
| 8 | 2020 | 42 | |
| 9 | 2014 | 39 | |
| 10 | 2014 | 37 | |
| 11 | 2022 | 35 | |
| 12 | 2019 | 34 | |
| 13 | 2017 | 33 | |
| 14 | 2020 | 30 | |
| 15 | 2020 | 29 | |
| 16 | 2017 | 29 | |
| 17 | 2017 | 29 | |
| 18 | 2017 | 28 | |
| 19 | 2014 | 27 | |
| 20 | 2017 | 25 |
About Congcong Li
Congcong Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Oncology, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Neonatal Respiratory Health Research (3 papers), Ion Channels and Receptors (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Ubiquitin and proteasome pathways (2 papers), Respiratory Support and Mechanisms (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Cognitive Neuroscience (138 citations), Reproductive Medicine (55 citations), Sensory Systems (31 citations), Pulmonary and Respiratory Medicine (191 citations) and Computer Vision and Pattern Recognition (145 citations). Congcong Li has collaborated with scholars based in China, United States and India. Frequent co-authors include Tsuhan Chen, Faguang Jin, Qingqing Liu, Xi Lü, Changshui Xu, Lingyan Zhou, Wei Liu, Ling Gao, Aihong Wang and Zhichao Li. Their work appears in journals such as Expert Review of Respiratory Medicine, Scientific Reports, Frontiers in Physiology, Frontiers in Pharmacology and NeuroImage.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.